{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "data breach", "trigger": true, "arguments": ["attacker", "number of data", "time", "place", "purpose", "damage amount", "compromised data", "number of victim", "attack pattern", "tool"]}, {"event_type": "phishing", "trigger": true, "arguments": ["place", "attack pattern", "damage amount", "attacker", "victim", "purpose", "time", "trusted entity", "tool"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["vulnerable system version", "common vulnerabilities and exposures", "releaser", "issues addressed", "vulnerability", "time", "vulnerable system", "patch number"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["time", "vulnerable system owner", "capabilities", "vulnerable system", "vulnerable system version", "supported platform", "vulnerability", "common vulnerabilities and exposures", "discoverer"]}], "input": "Scammers approach people via email to encourage them to hand over private or sensitive information about themselves or the company they work for ."}
{"data breach": [], "phishing": [{"trigger": "approach", "arguments": {"place": "NAN", "attack pattern": "via email", "damage amount": "NAN", "attacker": "Scammers", "victim": "people", "purpose": "encourage them to hand over private or sensitive information", "time": "NAN", "trusted entity": "NAN", "tool": "NAN"}}], "patch vulnerability": [], "discover vulnerability": []}